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Codat Financial Data MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Api Health, Get Data Sync Status, List Accounting Customers, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Codat Financial Data through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Codat Financial Data app connector for OpenAI Agents SDK is a standout in the Data Management category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Codat Financial Data Assistant",
            instructions=(
                "You help users interact with Codat Financial Data. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Codat Financial Data"
        )
        print(result.final_output)

asyncio.run(main())
Codat Financial Data
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Codat Financial Data MCP Server

Connect your Codat.io account to any AI agent and take full control of your business data standardization and financial monitoring workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Codat Financial Data through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Codat Financial Data, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Accounting Orchestration — Retrieve standardized invoices, customers, and bank accounts from 30+ platforms (Xero, QuickBooks, Sage, etc.) programmatically
  • Commerce Intelligence — Access unified order history and payment transactions from systems like Shopify, Stripe, and Square to maintain high-fidelity sales records
  • Banking Connectivity — Monitor bank statement transactions and account balances via integrated banking aggregators directly through your agent
  • Entity & Sync Management — Programmatically create new business entities (companies) and monitor data synchronization progress across all connected platforms
  • Integration Oversight — Access complete directories of supported accounting, commerce, and banking integrations to perfectly coordinate your data strategy

The Codat Financial Data MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Codat Financial Data tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Codat Financial Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning financial-data, api-standardization, accounting-sync, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

io service API. Verify Codat API connectivity

get_data_sync_status

Check synchronization progress

list_accounting_customers

List customers from accounting data

list_accounting_invoices

List standardized invoices

list_banking_transactions

List transactions from bank feeds

list_commerce_orders

). List orders from commerce systems

list_commerce_transactions

List commerce payment transactions

list_data_connections

) for a specific company ID. List active data links for a company

list_financial_bank_accounts

List bank accounts from accounting

list_financial_companies

List all linked business entities

list_supported_integrations

List all available integrations

register_new_financial_entity

Create a new company in Codat

Connect Codat Financial Data to OpenAI Agents SDK via MCP

Follow these steps to wire Codat Financial Data into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Codat Financial Data

Why Use OpenAI Agents SDK with the Codat Financial Data MCP Server

OpenAI Agents SDK provides unique advantages when paired with Codat Financial Data through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Codat Financial Data + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Codat Financial Data MCP Server delivers measurable value.

01

Automated workflows: build agents that query Codat Financial Data, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Codat Financial Data, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Codat Financial Data tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Codat Financial Data to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Codat Financial Data in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Codat Financial Data immediately.

01

"List all business entities (companies) in my Codat account."

02

"Show the latest standardized invoices for company 'abc-123'."

03

"What is the data sync status for 'Acme Corp'?"

Troubleshooting Codat Financial Data MCP Server with OpenAI Agents SDK

Common issues when connecting Codat Financial Data to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Codat Financial Data + OpenAI Agents SDK FAQ

Common questions about integrating Codat Financial Data MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.